WiFiUS: Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints
WiFiUS: Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints
批准号:
1457168
负责人:
Venugopal Veeravalli
金额:
$27.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-03-01 至 2018-02-28
中文摘要
在过去的十年中,蜂窝网络的使用显著增长,反映出数据需求的增加。这一直是最近研究管理无线网络中干扰的新方法的驱动力。该项目的重点是通过单跳无线网络的信息论模型的视角,探索利用预期的基础设施改进的潜在好处,特别是在更灵活地使用连接基站的回程网络方面。该项目的目标是展示集中式信道感知回程资源分配决策如何通过共享消息和信道状态信息,在证明与实际部署相关的网络模型中导致速率收益和干扰管理方案的简化。第一个是研究大型干扰网络中通信速率的基本限制,该网络具有速率限制回程,允许在下行链路和上行链路情况下在基站之间共享消息。本研究利用高层的信道状态信息来识别网络的拓扑结构,并进行基于自由度的消息共享方案的分析和设计。第二个推力建立在第一个推力的基础上,使用更详细的信道状态信息和交换来设计分布式多天线干扰控制和资源管理方案。第三个推力涉及动态网络中的干扰管理,考虑到由于衰落以及由于用户进入和离开蜂窝网络而导致的拓扑动态。这一推力的一个重要组成部分是联合优化消息共享和信道状态信息交换的速率限制回程,对干扰管理、协调和相关资源分配的研究将促进我们对如何显著提高不断演变的无线网络的能量和频谱效率的理解。虽然该项目将推动无线网络的科学和工程,但它也应该通过为未来无线网络的设计和实施开发新的设计原则和方法来影响国内和国际无线行业。通过更有效地利用无线频谱,这种网络有可能改善世界各地的宽带接入,并为许多新的无线服务提供通信基础设施。此外,这些进步对于实现不断发展的互联对象互联网或物联网(IoT)是必要的。教育举措包括让本科生参与研究项目;将在该项目下开发的研究成果纳入研究生和本科课程;在国际会议、季节性学校和WiFiUS会议上介绍与该项目有关的主题的教程;以及促进两个合作机构之间的学生交流。
英文摘要
The past decade has witnessed significant growth in the use of cellular networks, reflecting increased data demands. This has been the driver of recent research for new ways of managing interference in wireless networks. The focus of this project is to explore the potential benefits of exploiting anticipated infrastructure enhancements, particularly in terms of a more flexible use of the backhaul network connecting the base-stations, through the lens of information-theoretic models of single hop wireless networks. The goal is to show how centralized channel-aware decisions for assigning backhaul resources, by sharing messages and channel state information, can lead to rate gains and simplification of interference management schemes in network models that prove relevant to practial deployments.The project connects three research thrusts. The first is to study the fundamental limits of the rate of communication in large interference networks with a rate-limited backhaul that allows for sharing messages between base stations in both downlink and uplink scenarios. This study uses high level channel state information to identify the topology of the network and carry out a degrees of freedom based analysis and design of message sharing schemes. The second thrust builds on the first thrust to design distributed multi-antenna interference control and resource management schemes using more detailed channel state information and exchange. The third thrust addresses interference management in dynamic networks, accounting for dynamics in topology due to fading as well as due to users entering and leaving the cellular network. An important component of this thrust is the joint optimization of the rate-limited backhaul for message sharing and channel state information exchange.Research on interference management, coordination and related resource allocation will advance our understanding of how to significantly improve the energy and spectral efficiency of evolving wireless networks. While this project will advance the science and engineering of wireless networking, it should also impact the national and international wireless industry by developing new design principles and methodologies for the design and implementation of future wireless networks. By enabling more efficient use of wireless spectrum, such networks have the potential to improve broadband access across the world and provide the communication infrastructure for numerous new wireless services. Furthermore, these advances are necessary to enable the evolving internet of connected objects or the Internet of Things (IoT). Education initiatives include the involvement of undergraduate students in the research project; integration of the research results developed under this project into graduate and undergraduate curricula; presentation of tutorials on topics related to the project at international conferences, seasonal schools and WiFiUS meetings; and facilitating student exchanges between the two collaborating institutions.
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